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Skeptical at first, given the price. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Bought it for India's discount retail store segment specifically. Will be the default vendor for us now.
Bought this for a cold outbound push. Lat/long landed every pin on the right storefront in Mapbox. Genuinely useful.
Needed addresses field reps could actually drive to. ROAS improved roughly 30% versus the lookalike audience we ran before. Bought it for our discount retail store outreach in India. Recommended.
Pulled the trigger after reading the row count. Website URLs were populated for ~80% of rows, far better than the competition. Bought it to underpin a India discount retail store campaign. Renewed for another quarter already.
Picked it up for a one-off campaign. Categorisation was granular enough to segment by sub-vertical without regex. Bought it as part of a wider discount retail store expansion into India. Worth the price.
Wanted a India list with verified phones. Website URLs were populated for ~80% of rows, far better than the competition. Bought it for a India-focused discount retail store territory cut. Sales team is happy.
Used it for a market-sizing exercise. ROAS improved roughly 30% versus the lookalike audience we ran before. Bought it for India's discount retail store segment specifically. Worth the price.
Picked it up for cold outbound. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Wished a few smaller towns had been included.
Last Update:
Aug 17, 2026 05:45 AM
Published:
May 11, 2026 02:23 AM
Rows (Extended):
163
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